Aishik Mandal

I am an ELLIS PhD student at UKP Lab, TU Darmstadt. I am supervised by Prof. Iryna Gurevych and co-supervised by Prof. Aurélien Bellet. I completed my Master's in Artificial Intelligence, Machine Learning and applications and my Bachelor's in Electronics and Electrical Communication Engineering at IIT Kharagpur. I also recieved the Silver Medal from the department of Electronics and Electrical Communication Engineering for the best academic performance among graduating students in the program.

At IIT Kharagpur, I worked at Centre of Excellence in AI with Prof. Jiaul Hoque Paik for my Master's Thesis. Prior to that, I was part of Complex Network Research Group and worked with Prof. Niloy Ganguly and Prof. Pawan Goyal, under whom I completed my Bachelor's Thesis. I did my summer internships at the Theoretical Foundations of AI group at Technical University of Munich under Prof. Debarghya Ghoshdastidar and at Articulabo, Cognitive Machine Learning Group at INRIA Paris under Prof. Justine Cassell. I recieved the DAAD WISE scholarship for my internship at TU Munich and the Charpak Lab scholarship and GKF International Internship scholarship for my internship at INRIA Paris.

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I'm interested in Dialogue Systems, Multimodality and Privacy. The projects I was part of are presented here.

Identified current privacy issues and threats in mental health AI models and datasets. We reviewed possible solutions from the literature for addressing the privacy issues and evaluation methods for them. Finaaly we suggest a pipeline for creating privacy-aware AI models in the mental health domain and list future research prospects towards this.

Developed a novel multimodal depression severity prediction framework and a novel loss function for imbalanced ordinal classification.

Developed a multicultural and multilingual visual QA dataset and benchmarked performance of current LLMs on this dataset.

Developed a novel loss function to train an universal transformer encoder network for mapping both images and text in a common embedding space such that images and text conveying similar meaning are close to one another.

Developed a revenue function to determine the goodness of a dendrogram obtained from hierarchical clustering algorithm in comparison-based settings.

Used multimodal data to improve turn taking of conversational agents in conversation with a human.

Developed a pretrained encoder for dialogues using a structure-aware Mutual Information based loss-function DMI (Discourse Mutual Information) and predicting response from only context encodings.

Developed a pretrained encoder for dialogues using a structure-aware Mutual Information based loss-function DMI (Discourse Mutual Information).

Developed a knowledge aware BERT based model for improved medical text classification.

Recieved DAAD WISE scholarship for summer internship at TU Munich

Recieved Charpak Lab Scholarship for summer internship at INRIA Paris

Recieved GKF International Internship Scholarship for summer internship at INRIA Paris

Volunteer of NSS and Co-Leader of the teaching team.

Mentor for 5 junior undergraduate students

Love photography and travelling. You can check out my photos at Shutterstock

Supporter of Liverpool FC and fantasy premier league player.

Love to watch movies. Check out my Letterboxd account.

Love to read manga and watch anime. Check out my MAL account.

Love to play open world games and Fifa.

Design and source code from Jon Barron's website